We performed a comparison between Microsoft Parallel Data Warehouse and Teradata based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"The solution's integration is good."
"The most valuable feature of this solution is performance."
"Tools like the BI and SAS are excellent."
"The solution has been reliable."
"It performs very well overall."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"One of the most important features is the ease of using MS SQL."
"The ability to handle machine data parallel processing is the most valuable feature of Teradata."
"The feature that we find most valuable is its ability to perform Massive Parallel Processing."
"The performance is great, we are able to query our data in one operation."
"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."
"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."
"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."
"It handles large amounts of information with a linear performance increase, in relation to a HW investment."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"The query is slow if we don't optimize it."
"The solution is expensive and has room for improvement."
"More tools to help designers should be included."
"They need to incorporate a machine learning engine."
"It could be made more user-friendly for business users which would increase the user base."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"The reporting for certain types of data needs to be improved."
"The product does not have all of the features that the native products have."
"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."
"Needs compatibility with more Big Data platforms."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"It would help to make scaling easier with a reduced cost. "
"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."
"The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."
"We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata."
"It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies."
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Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 12 reviews while Teradata is ranked 3rd in Data Warehouse with 21 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Teradata is rated 8.4. The top reviewer of Microsoft Parallel Data Warehouse writes "User-friendly UI and good support". On the other hand, the top reviewer of Teradata writes "Very fast with good database control and excellent support". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Snowflake and VMware Tanzu Greenplum, whereas Teradata is most compared with SQL Server, Snowflake, MySQL, Oracle Exadata and BigQuery. See our Microsoft Parallel Data Warehouse vs. Teradata report.
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You are asking about front end tools but you do not mention which ones. What you have are "database backends" and each has different features. The utilization will depend on what kind of expertise you have available else you will end up trying to implement say, Teradata on Exadata which may not give you the best solution. What are your criteria for success? Based on these you will have to evaluate each solution -- I am sure each vendor will be happy to set up the environment and work with your set of sampl,e data to show you have they evaluate against your criteria.
Given we partner with many or all of the above, or can get to them as we access all data, I have the following opinion - InfoBright is very new and probable to be sold long term. It is also an expensive subscription so presents highest risk to me. Exidata is Oracle - if you like Oracle and their style, it maybe ok, but then it is Oracle. Microsoft is Microsoft - tends to be cheap to acquire and expensive to implement and maintain. Teradata is pricey but of the group presents the least risk and the greatest number of front end partners. The product I represent is unique as it is designed for high complexity large numbers of users and data and runs inside Teradata taking better advantage of the architecture.
Disclosure: I work for Information Builders